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Research Experience for Undergraduates Position at Yale/VA Learning Based Recovery Center


REU program: We participate in the NSF-funded Research Experience for Undergraduates (REU), which provides research experience and funding for excellent and inquisitive undergraduate students. The goal of the REU program is to train undergraduate students in conducting research, applying and proposing appropriate research methods, as well as preparing research papers and reports. This position is at the Yale/VA Learning Based Recovery Center.


Expectations: The REU student will be expected to conduct research, develop and evaluate methods and algorithms on an NSF-funded project, which focuses on collecting, extracting, annotating, and analyzing motion capture data from participants performing a set of physical tasks. The student will contribute to the development and improvement of our recording and annotation system, including data extraction and analysis methods. The student will be expected to have some degree of autonomy – to conduct research and make progress by actively proposing ways and research methods to improve the current system (study administration and data collection/analysis). They will be participating in weekly research meetings, reporting on their progress and the overall development of the system, discussing current and future potential improvements, as well as to participate and observe the data collection sessions.



  • Be a US citizen or a green-card
  • Be enrolled in an undergraduate degree program, and preferably studying computer science or a related field of
  • Be available to work part-time for Fall 2020 and Spring 2021. The workload is expected to be 10 hours a week, and the pay rate is $15/hr.
  • Be able to work independently and have good written and communication
  • Be able to develop, maintain, and develop user-friendly software


Preferred Skills:

  • Be able to design applications using C#, Python, or JavaScript with HTML and
  • Data Mining and/or Statistical Analysis (e.g. Scikit-learn, SPSS, )
  • Supervised and unsupervised machine learning (e.g., classification, clustering)
  • Computer vision methods (e.g., OpenCV, Deep Learning)
  • Experience in research and report


We would like to hire an REU student to start working with our team as soon as possible. Please upload your resume and cover letter (optional) at https://rb.gy/t2xjmi. Review of applications will begin immediately and continue until the position is filled. This position is part-time, and it is for Fall 2020 and Spring 2021. For any questions, please send an email to maher.abujelala@yale.edu

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